Merriam Quantitative Techniques for the Analysis of Sediments

An International Symposium
1. Auflage 2017
ISBN: 978-1-4831-5995-9
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 186 Seiten, Web PDF

Quantitative Techniques for the Analysis of Sediments: An International Symposium is a compilation of studies about the integration and application of statistics, mathematics, and computers in the field of sedimentology. The book includes 13 studies from different experts in the field of sedimentology. These studies discuss topics such as the analysis and management of systems suitable for sedimentological data; the different methods of analysis and the numerical classification of different sedimentological data; and the assessment of quantitative methods in comparing lithological succession data. Also included is the trend analysis of sedimentary thickness data; numerical classification of multi-variate petrographic presence-absence data by association analysis; and the mathematical modeling and statistical recognition of terrestrial and marine sediments. The text will interest those in the field of sedimentology and geology, especially those who are engaged in research and wish to be aided by the different techniques included.

Autoren/Hrsg.

Merriam, Daniel F

Inhaltsverzeichnis

1;Front Cover;1
2;Quantitative Techniques for the Analysis of Sediments: An International Symposium;4
3;Copyright Page ;5
4;Table of Contents;8
5;LIST OF CONTRIBUTORS;10
6;PREFACE;12
7;CHAPTER 1. AN ANALYSIS AND MANAGEMENT SYSTEM SUITABLE FOR SEDIMENTOLOGICAL DATA;14
7.1;ABSTRACT;14
7.2;INTRODUCTION;14
7.3;SYSTEM DESIGN AND CONCEPTS;15
7.4;ORGANIZATION OF THE SYSTEM;16
7.5;APPEARANCE OF G-EXEC TO THE USER;18
7.6;PROCESS COMMANDS;18
7.7;IMPLEMENTATION;18
7.8;PROCESS PROGRAMS;20
7.9;CONCLUSIONS;21
7.10;AVAILABILITY;21
7.11;ACKNOWLEDGMENTS;22
7.12;REFERENCES;22
8;CHAPTER 2. TREND ANALYSIS OF SEDIMENTARY THICKNESS DATA: THE PENNSYLVANIAN OF KANSAS, AN EXAMPLE;24
8.1;ABSTRACT;24
8.2;INTRODUCTION;24
8.3;TECHNIQUE;25
8.4;INTERPRETATION;27
8.5;SUMMARY;33
8.6;REFERENCES;33
9;CHAPTER 3. NUMERICAL CLASSIFICATION OF MULTIVARIATE PETROGRAPHIC PRESENCEABSENCE DATA BY ASSOCIATION ANALYSIS IN THE STUDY OF THE MIOCENE ZIQLAG REEF COMPLEX OF ISRAEL;36
9.1;ABSTRACT;36
9.2;INTRODUCTION;36
9.3;PROCEDURE;37
9.4;ASSOCIATION ANALYSIS;37
9.5;RESULTS AND DISCUSSION;41
9.6;ACKNOWLEDGMENTS;42
9.7;REFERENCES;42
10;CHAPTER 4. AN ASSESSMENT OF SOME QUANTITATIVE METHODS OF COMPARING LITHOLOGICAL SUCCESSION DATA;46
10.1;ABSTRACT;46
10.2;INTRODUCTION;46
10.3;DATA SET;48
10.4;METHOD;49
10.5;RESULTS;52
10.6;DISCUSSION AND SEDIMENTOLOGIC INTERPRETATION;55
10.7;POSSIBLE FUTURE DEVELOPMENTS;59
10.8;CONCLUSIONS;59
10.9;ACKNOWLEDGMENTS;60
10.10;REFERENCES;60
11;CHAPTER 5. STATISTICAL RECOGNITION OF TERRESTRIAL AND MARINE SEDIMENTS IN THE LOWER CRETACEOUS OF PORTUGAL;66
11.1;ABSTRACT;66
11.2;INTRODUCTION;66
11.3;SAMPLING DETAILS;67
11.4;METHODS;67
11.5;CHEMICAL ANALYSES;69
11.6;STATISTICAL ANALYSIS;69
11.7;SUMMARY;72
11.8;ACKNOWLEDGMENTS;72
11.9;REFERENCES;72
12;CHAPTER 6. CLASSIFICATION OF MINNESOTA LAKES BY Q-AND R-MODE FACTOR ANALYSIS OF SEDIMENT MINERALOGY AND GEOCHEMISTRY;74
12.1;ABSTRACT;74
12.2;INTRODUCTION;74
12.3;METHODS;75
12.4;LAKE CLASSIFICATION - Q-MODE FACTOR ANALYSIS;80
12.5;ASSOCIATIONS OF VARIABLES - R-MODE FACTOR ANALYSIS;82
12.6;REFERENCES;84
13;CHAPTER 7. SEDIMENTARY ENVIRONMENTAL ANALYSIS OF LONG ISLAND SOUND, USA WITH MULTIVARIATE STATISTICS;86
13.1;ABSTRACT;86
13.2;INTRODUCTION;87
13.3;THE STUDY AREA;87
13.4;ANALYTIC METHODS;91
13.5;APPLICATION TO LONG ISLAND SOUND;93
13.6;REFERENCES;108
14;CHAPTER 8. SIMULATION TECHNIQUE OF MATCHING AND ITS STABILITY;112
14.1;ABSTRACT;112
14.2;INTRODUCTION;112
14.3;HISTORY MATCHING;113
14.4;AN EXAMPLE;114
14.5;RESULT;115
15;CHAPTER 9. MATHEMATICAL MODELING OF SEDIMENT ACCUMULATION IN PROGRADING DELTAIC SYSTEMS;118
15.1;ABSTRACT;118
15.2;INTRODUCTION;118
15.3;BASIN RESPONSE TO LOADING;119
15.4;DELTA PROFILE GEOMETRY;121
15.5;PREDICTING THICKNESSES OF TIME-STRATIGRAPHIC UNITS;123
15.6;EXAMPLE;125
15.7;INFERENCES BASED ON THE MODEL;128
15.8;GENERAL APPLICATIONS;131
15.9;REFERENCES;131
16;CHAPTER 10. A SEDIMENTOLOGICAL PATTERN RECOGNITION PROBLEM;134
16.1;ABSTRACT;134
16.2;INTRODUCTION;134
16.3;EXAMPLE;136
16.4;TECHNIQUES AND DATA;138
16.5;RESULTS;149
16.6;ACKNOWLEDGMENTS;150
16.7;REFERENCES;151
17;CHAPTER 11. MULTIDIMENSIONAL SCALING OF SEDIMENTARY ROCK DESCRIPTORS;156
17.1;ABSTRACT;156
17.2;INTRODUCTION;156
17.3;NONMETRIC MULTIDIMENSIONAL SCALING;158
17.4;MULTIDIMENSIONAL SCALING OF SANDSTONE PETROGRAPHIC PROPERTIES;160
17.5;MULTIDIMENSIONAL SCALING OF SAND SEDIMENTATION ENVIRONMENTS;164
17.6;CONCLUSIONS;165
17.7;ACKNOWLEDGMENTS;166
17.8;REFERENCES;167
18;CHAPTER 12. THE IDENTIFICATION OF DISCONTINUITIES FROM AREALLY DISTRIBUTED DATA;170
18.1;ABSTRACT;170
18.2;INTRODUCTION;171
18.3;SEGMENTATION OF ONE-DIMENSIONAL SEQUENCE DATA;171
18.4;PROPERTIES OF SURFACES;172
18.5;WHAT IS A DISCONTINUITY ?;172
18.6;SEGMENTATION OF TWO-DIMENSIONAL DATA;173
18.7;CLUSTER ANALYSIS;174
18.8;MINIMAL-SPANNING TREE;175
18.9;THE METHOD OF PAVLIDIS;176
18.10;METHODS FOR HIGHLIGHTING DISCONTINUITIES;176
18.11;ANALYTICAL HILL-SHADING;177
18.12;SPECIFIC METHODS;178
18.13;TEXTURE ANALYSIS;180
18.14;CONCLUSIONS;180
18.15;ACKNOWLEDGMENTS;180
18.16;REFERENCES;180
19;CHAPTER 13. THE DISPLAY OF THREE-FACTOR MODELS;182
19.1;ABSTRACT;182
19.2;INTRODUCTION;182
19.3;MOLECULE REPRESENTATIONS;182
19.4;EXAMPLES;183
19.5;VIEW;184
19.6;REFERENCES;185
20;INDEX;186